AI Guidance Helps Novices Perform Echocardiography
|
By MedImaging International staff writers Posted on 09 Mar 2021 |

Image: Using AI technology, novice staff can acquire quality ultrasounds (Photo courtesy of Dreamstime)
Nurses with no training in ultrasound were able to acquire diagnostic-quality images by using an artificial intelligence (AI)-based software application, according to a new study.
Researchers at Northwestern University (NU; Evanston, IL, USA), MedStar Washington Hospital Center (Washington, DC, USA), and other institutions conducted a prospective, multicenter diagnostic study involving eight nurses with no experience in ultrasound. The nurses were then trained using Caption Guidance, a deep-learning (DL) algorithm developed by Caption Health (Brisbane, CA, USA) that provides real-time prescriptive guidance for limited diagnostic transthoracic echocardiographic scans.
Each nurse scanned 10-view transthoracic echocardiograms in 30 patients, which were then compared with those of level 3-trained technicians using the same hardware, but without AI guidance. The results showed that the novice nurses produced echocardiograms judged to be of diagnostic quality for left ventricular size, function, and pericardial effusion in 98.8% of the scans, and right ventricular size in 92.5%. Experienced sonographers, however, were much better at determining the size of the inferior vena cava (91.5% versus 57.4%). The study was published on February 18, 2021, in JAMA Cardiology.
“The ability to provide echocardiography outside the traditional laboratory setting is largely limited by a lack of trained sonographers and cardiologists to acquire and interpret images,” concluded senior author cardiologist James Thomas, MD, of Northwestern University, and colleagues. “Using this AI-based technology, individuals with no previous training may be able to obtain diagnostic echocardiographic clips of several key cardiac parameters.”
“In our mission to democratize access to healthcare and quality medical imaging, we wanted to ensure that we tested Caption Guidance on a wide range of patients to prove its effectiveness across a diverse population,” said Yngvil Thomas, head of medical affairs and clinical development at Caption Health. “This study shows that AI-guided imaging can expand healthcare professionals’ skill sets in a meaningful way with minimal training, giving patients more opportunities to receive timely diagnostic care.”
Related Links:
Northwestern University
MedStar Washington Hospital Center
Caption Health
Researchers at Northwestern University (NU; Evanston, IL, USA), MedStar Washington Hospital Center (Washington, DC, USA), and other institutions conducted a prospective, multicenter diagnostic study involving eight nurses with no experience in ultrasound. The nurses were then trained using Caption Guidance, a deep-learning (DL) algorithm developed by Caption Health (Brisbane, CA, USA) that provides real-time prescriptive guidance for limited diagnostic transthoracic echocardiographic scans.
Each nurse scanned 10-view transthoracic echocardiograms in 30 patients, which were then compared with those of level 3-trained technicians using the same hardware, but without AI guidance. The results showed that the novice nurses produced echocardiograms judged to be of diagnostic quality for left ventricular size, function, and pericardial effusion in 98.8% of the scans, and right ventricular size in 92.5%. Experienced sonographers, however, were much better at determining the size of the inferior vena cava (91.5% versus 57.4%). The study was published on February 18, 2021, in JAMA Cardiology.
“The ability to provide echocardiography outside the traditional laboratory setting is largely limited by a lack of trained sonographers and cardiologists to acquire and interpret images,” concluded senior author cardiologist James Thomas, MD, of Northwestern University, and colleagues. “Using this AI-based technology, individuals with no previous training may be able to obtain diagnostic echocardiographic clips of several key cardiac parameters.”
“In our mission to democratize access to healthcare and quality medical imaging, we wanted to ensure that we tested Caption Guidance on a wide range of patients to prove its effectiveness across a diverse population,” said Yngvil Thomas, head of medical affairs and clinical development at Caption Health. “This study shows that AI-guided imaging can expand healthcare professionals’ skill sets in a meaningful way with minimal training, giving patients more opportunities to receive timely diagnostic care.”
Related Links:
Northwestern University
MedStar Washington Hospital Center
Caption Health
Latest Ultrasound News
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
- Pain-Free Breast Imaging System Performs One Minute Cancer Scan
- Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
- New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
- New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
- AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
- AI Identifies Heart Valve Disease from Common Imaging Test
- Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
- Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Channels
Radiography
view channel
Routine Mammograms Could Predict Future Cardiovascular Disease in Women
Mammograms are widely used to screen for breast cancer, but they may also contain overlooked clues about cardiovascular health. Calcium deposits in the arteries of the breast signal stiffening blood vessels,... Read more
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read moreMRI
view channel
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read more
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
Stable coronary artery disease is a common cause of chest pain, yet accurately identifying patients at the highest risk of future heart attacks or death remains difficult. Standard coronary CT scans show... Read more
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







